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Senior Ai Data Trainer Jobs in Virginia (NOW HIRING)

The Senior AI Developer will work across the full stack of AI development, from data ingestion and model experimentation to application integration, orchestration, and deployment, and will ...

Senior AI Developer

Mclean, VA · On-site

$140K - $190K/yr

The Senior AI Developer will work across the full stack of AI development, from data ingestion and model experimentation to application integration, orchestration, and deployment, and will ...

Senior AI Developer

Mclean, VA · On-site

$140K - $180K/yr

The Senior AI Developer will work across the full stack of AI development, from data ingestion and model experimentation to application integration, orchestration, and deployment, and will ...

Senior AI Developer

Mclean, VA · On-site

$140K - $190K/yr

The Senior AI Developer will work across the full stack of AI development, from data ingestion and model experimentation to application integration, orchestration, and deployment, and will ...

Senior AI Developer

Mclean, VA · On-site

$140K - $180K/yr

The Senior AI Developer will work across the full stack of AI development, from data ingestion and model experimentation to application integration, orchestration, and deployment, and will ...

Senior AI Developer

Mclean, VA · On-site

$140K - $180K/yr

The Senior AI Developer will work across the full stack of AI development, from data ingestion and model experimentation to application integration, orchestration, and deployment, and will ...

Senior AI Developer

Mclean, VA · On-site

$140K - $190K/yr

The Senior AI Developer will work across the full stack of AI development, from data ingestion and model experimentation to application integration, orchestration, and deployment, and will ...

Senior AI Developer

Mclean, VA · On-site

$140K - $190K/yr

The Senior AI Developer will work across the full stack of AI development, from data ingestion and model experimentation to application integration, orchestration, and deployment, and will ...

Senior AI Developer

Mclean, VA · On-site

$140K - $190K/yr

The Senior AI Developer will work across the full stack of AI development, from data ingestion and model experimentation to application integration, orchestration, and deployment, and will ...

AI Data Architect

Richmond, VA · On-site +1

$83.20K - $178.80K/yr

Knowledge of AI/ML lifecycle data requirements, including model training, validation, and ... Experience presenting and defending architectural decisions with senior executives and regulators.

AI/ML Engineer, Senior

Reston, VA · On-site +1

$108.70K - $149.30K/yr

The Senior AI/ML Engineer designs, builds, and validates machine learning models for RF emitter ... data, training pipeline development, model evaluation, and iterative refinement based on results

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Showing results 1-20

Senior Ai Data Trainer information

What are the key skills and qualifications needed to thrive as a Senior AI Data Trainer, and why are they important?

To thrive as a Senior AI Data Trainer, you need a strong background in data annotation, machine learning concepts, and quality assurance, typically supported by a relevant degree and prior experience in AI training projects. Familiarity with annotation tools, data labeling platforms, and version control systems is commonly required, along with knowledge of Python or similar scripting languages. Excellent attention to detail, communication, and problem-solving skills help ensure accurate data labeling and effective collaboration with cross-functional teams. These skills are crucial for building high-quality datasets that directly impact the performance and reliability of AI models.

What are some common challenges faced by Senior AI Data Trainers when ensuring data quality for machine learning models?

Senior AI Data Trainers often encounter challenges such as managing large and diverse datasets, maintaining labeling consistency, and identifying subtle biases that could affect model performance. They must also coordinate with data engineers and machine learning teams to validate data accuracy and relevance. Addressing these challenges requires strong attention to detail, effective communication skills, and the ability to implement quality assurance processes throughout the data annotation lifecycle.

What are Senior AI Data Trainers?

Senior AI Data Trainers are professionals who oversee the creation, curation, and labeling of data used to train artificial intelligence models. They ensure that data is accurately annotated and aligned with the requirements of the machine learning project, often supervising and mentoring junior data trainers. Their responsibilities also include developing guidelines, maintaining data quality standards, and collaborating with data scientists and engineers to improve AI model performance. Senior AI Data Trainers play a critical role in the success of AI initiatives by ensuring high-quality, well-labeled datasets.

What is the difference between Senior Ai Data Trainer vs Data Analyst?

AspectSenior Ai Data TrainerData Analyst
Required CredentialsBachelor's or higher in CS, Data Science, or related; experience with AI modelsBachelor's or higher in Statistics, Data Science, or related; proficiency in data analysis tools
Work EnvironmentAI development teams, tech companies, research labsBusiness, finance, healthcare, or tech sectors; data-driven departments
Employer & Industry UsageAI-focused companies, tech startups, research institutionsVarious industries including finance, marketing, healthcare

While both roles involve working with data, a Senior Ai Data Trainer specializes in preparing and refining datasets for AI models, often requiring knowledge of machine learning and AI frameworks. In contrast, a Data Analyst focuses on interpreting data to generate insights for business decisions. The roles overlap in data handling but differ in technical focus and application.

What are the most commonly searched types of Ai Data Trainer jobs in Virginia? The most popular types of Ai Data Trainer jobs in Virginia are:
What are popular job titles related to Senior Ai Data Trainer jobs in Virginia? For Senior Ai Data Trainer jobs in Virginia, the most frequently searched job titles are:
What cities in Virginia are hiring for Senior Ai Data Trainer jobs? Cities in Virginia with the most Senior Ai Data Trainer job openings:

$140K - $190K/yr

Other

Posted 11 days ago


Job description

Overview

We are looking for a highly skilled Senior AI Developer to design, build, and optimize advanced AI solutions across predictive, generative, and autonomous system domains. This role requires strong hands-on engineering capabilities, deep familiarity with modern AI architectures, and the ability to translate mission needs into robust, production-ready AI capabilities. The Senior AI Developer will work across the full stack of AI development, from data ingestion and model experimentation to application integration, orchestration, and deployment, and will collaborate closely with product teams, LLMOps engineers, designers, and mission stakeholders. 

Contributions
  • Develop end-to-end AI solutions including LLM-powered applications, predictive ML models, multi-agent workflows, RAG pipelines, and specialized AI microservices. 
  • Implement reusable AI components, libraries, and APIs that streamline application development and accelerate delivery across programs. 
  • Integrate AI models with enterprise systems, APIs, data platforms, vector databases, and cloud-native services to deliver scalable mission capabilities. 
  • Drive iterative experimentation, prototyping, and model improvement cycles in collaboration with Data Scientists and AI Evaluation Scientists. 
  • Design and implement advanced prompt strategies, context management layers, retrieval systems, and LLM orchestration logic. 
  • Build scalable inference services, optimize model performance, and collaborate with LLMOps to enable robust deployment, monitoring, and continuous improvement. 
  • Translate user needs and mission workflows into intuitive, reliable AI-powered features through active partnership with designers and product teams. 
  • Implement secure-by-design and trustworthy AI practices, including safety guardrails, input sanitization, content filtering, and integration of evaluation metrics. 
  • Contribute to internal AI frameworks, code patterns, and shared accelerators that raise delivery quality across the AI & Data Exploitation Practice. 
  • Mentor junior developers, conduct code reviews, and support engineering excellence across multi-disciplinary AI delivery teams. 
  • Stay current with emerging AI techniques, libraries, foundation models, and agent frameworks, evaluating their applicability to client missions. 
  • You will contribute to the growth of our AI & Data Exploitation Practice! 
Qualifications
  • Ability to hold a position of public trust with the U.S. government. 
  • Bachelor's, Master's, or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, or a related field. 
  • 5+ years of hands-on software engineering experience, with at least 2+ years focused on AI/ML, generative AI, or LLM-driven application development. 
  • Strong proficiency in Python and modern AI frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, LangChain, LlamaIndex, or similar. 
  • Demonstrated ability to design and develop production-grade AI applications, including APIs, back-end services, orchestration logic, and front-end integrations (when needed). 
  • Experience implementing RAG architectures, embeddings, vector stores, and context retrieval patterns. 
  • Familiarity with multi-agent orchestration frameworks, prompt engineering strategies, and advanced LLM interaction design. 
  • Strong understanding of cloud platforms (AWS, Azure, GCP), including compute, serverless services, and security fundamentals for AI workloads. 
  • Working knowledge of containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines for AI-based systems. 
  • Experience with structured and unstructured data, document processing, and application integration with existing enterprise systems. 
  • Understanding of responsible AI principles including safety, fairness, privacy, and model risk mitigation. 
  • Strong analytical and communication skills with the ability to collaborate across engineering, design, and mission domains. 
  • Proven experience mentoring teammates and raising the technical bar of development teams.
  • Must be in the office 3 days per week.
About steampunk

Steampunk relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $140,000 to $190,000.  The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunk's total compensation package for employees. Learn more about additional Steampunk benefits here. 

Identity Statement

As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors.  Through our Human-Centered delivery methodology, we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges.  As an employee owned company, we focus on investing in our employees to enable them to do the greatest work of their careers - and rewarding them for outstanding contributions to our growth. If you want to learn more about our story, visit http://www.steampunk.com.

Employment Type: OTHER